This talk demonstrates one method of matching sets of MARC records that lack common unique identifiers and might contain slight differences in the matching fields. It will cover basic usage of several python tools. No large stack traces, just the comfort of pure python and basic computational algorithms in a step-by-step presentation on dealing with an old library task: matching dirty data. While much literature exists on matching/merging duplicate bibliographic records, most of this literature does not specify how to accomplish the task, just reports on the efficiency of the tools used to accomplish the task, often within a larger system such as an ILS.
Run time 20 minutes 31 secondsAudio/Visual sound